Cargando…

Enhancing Diagnostic Decision-Making: Ensemble Learning Techniques for Reliable Stress Level Classification

An intense level of academic pressure causes students to experience stress, and if this stress is not addressed, it can cause adverse mental and physical effects. Since the pandemic situation, students have received more assignments and other tasks due to the shift of classes to an online mode. Stud...

Descripción completa

Detalles Bibliográficos
Autores principales:	Anand, Raghav V., Md, Abdul Quadir, Urooj, Shabana, Mohan, Senthilkumar, Alawad, Mohamad A., C., Adittya
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670633/ https://www.ncbi.nlm.nih.gov/pubmed/37998591 http://dx.doi.org/10.3390/diagnostics13223455

Ejemplares similares

Enhanced Preprocessing Approach Using Ensemble Machine Learning Algorithms for Detecting Liver Disease
por: Md, Abdul Quadir, et al.
Publicado: (2023)

Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection
por: Veerabaku, Muthu Ganesh, et al.
Publicado: (2023)

Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network
por: Lata, Sonam, et al.
Publicado: (2020)

Classification of genomic islands using decision trees and their ensemble algorithms
por: Che, Dongsheng, et al.
Publicado: (2010)

Making Decisions with Unknown Sensory Reliability
por: Deneve, Sophie
Publicado: (2012)

Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm
por: Sonia, J. Jeba, et al.
Publicado: (2023)

Classification of Skin Disease using Ensemble Data Mining Techniques
por: Verma, Anurag Kumar, et al.
Publicado: (2019)

AGRN: accurate gene regulatory network inference using ensemble machine learning methods
por: Alawad, Duaa Mohammad, et al.
Publicado: (2023)

Attracting Dynamics of Frontal Cortex Ensembles during Memory-Guided Decision-Making
por: Balaguer-Ballester, Emili, et al.
Publicado: (2011)

Global Optimization Ensemble Model for Classification Methods
por: Anwar, Hina, et al.
Publicado: (2014)

Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification
por: Kandel, Ibrahem, et al.
Publicado: (2021)

EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy
por: Mondal, Sambit S., et al.
Publicado: (2022)

HISET: Hybrid interpretable strategies with ensemble techniques for respiratory sound classification
por: Prabhakar, Sunil Kumar, et al.
Publicado: (2023)

Coherent neuronal ensembles are rapidly recruited when making a look-reach decision
por: Wong, Yan T., et al.
Publicado: (2016)

A Deep Learning-Based Framework for Retinal Disease Classification
por: Choudhary, Amit, et al.
Publicado: (2023)

Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
por: Ge, Guangtao, et al.
Publicado: (2008)

Reliability of the Evidence to Guide Decision-Making in Acupuncture for Functional Dyspepsia
por: Huang, Jinke, et al.
Publicado: (2022)

Design and Development of a Non-Contact ECG-Based Human Emotion Recognition System Using SVM and RF Classifiers
por: Alam, Aftab, et al.
Publicado: (2023)

Endoscopic Preoperative Assessment, Classification of Stenosis, Decision-Making
por: Filauro, Marta, et al.
Publicado: (2020)

Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs
por: Yamada, Yutoku, et al.
Publicado: (2020)

A Reliable Machine Intelligence Model for Accurate Identification of Cardiovascular Diseases Using Ensemble Techniques
por: Doppala, Bhanu Prakash, et al.
Publicado: (2022)

Molecular ensembles make evolution unpredictable
por: Sailer, Zachary R., et al.
Publicado: (2017)

Young children’s use of probabilistic reliability and base-rates in decision-making
por: Gualtieri, Samantha, et al.
Publicado: (2022)

Reliability of Evidence to Guide Decision-Making in the Use of Acupuncture for Postpartum Depression
por: Hu, Xiuwu, et al.
Publicado: (2022)

An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making
por: Shi, Xi, et al.
Publicado: (2021)

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
por: Walid, Md. Abul Ala, et al.
Publicado: (2023)

Ensemble-Based Approaches Ensure Reliability and Reproducibility
por: Wan, Shunzhou, et al.
Publicado: (2023)

Ensemble Classification Methods with Applications in R
por: Alfaro, Esteban
Publicado: (2018)

Federated Ensemble Regression Using Classification
por: Orhobor, Oghenejokpeme I., et al.
Publicado: (2020)

Ensemble Classification Approach for Sarcasm Detection
por: Godara, Jyoti, et al.
Publicado: (2021)

Weighted ensemble model for image classification
por: Iqball, Talib, et al.
Publicado: (2023)

Classification of expert-level therapeutic decisions for degenerative cervical myelopathy using ensemble machine learning algorithms
por: Park, Dougho, et al.
Publicado: (2022)

Multiple-criteria decision making: concepts, techniques, and extensions
por: Yu, Po-Lung
Publicado: (1985)

Construction program management: decision making and optimization techniques
por: Haidar, Ali D
Publicado: (2015)

Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making
por: Song, Kai, et al.
Publicado: (2018)

Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique
por: Rath, Adyasha, et al.
Publicado: (2022)

A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification
por: Cui, Su, et al.
Publicado: (2023)

Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning Techniques
por: Umapathy, Snekhalatha, et al.
Publicado: (2023)

Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks
por: Ali, Muhammad Danish, et al.
Publicado: (2023)

The (decision) tree of fertility: an innovative decision-making algorithm in assisted reproduction technique
por: Villani, Maria Teresa, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_tlqthe595gt5g0ausjg1ordr6j